Ontologizing health systems data at scale: making translational discovery a reality

Autor: Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner, Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin A. Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn

Publikováno v: npj Digital Medicine, Vol 6, Iss 1, Pp 1-18 (2023)

Abstract Common data models solve many challenges of standardizing electronic health record (EHR) data but are unable to semantically integrate all of the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry on

Externí odkaz: https://doaj.org/article/19e71d5e4d104d89b86f312e42ae7202

Validation of the Pediatric Sequential Organ Failure Assessment Score and Evaluation of Third International Consensus Definitions for Sepsis and Septic Shock Definitions in the Pediatric Emergency Department

Autor: Fran, Balamuth, Halden F, Scott, Scott L, Weiss, Michael, Webb, James M, Chamberlain, Lalit, Bajaj, Holly, Depinet, Robert W, Grundmeier, Diego, Campos, Sara J, Deakyne Davies, Norma Jean, Simon, Lawrence J, Cook, Elizabeth R, Alpern, Brent, Hulsey

Publikováno v: JAMA Pediatr

IMPORTANCE: Pediatric sepsis definitions have evolved, and some have proposed using the measure used in adults to quantify organ dysfunction, a Sequential Organ Failure Assessment (SOFA) score of 2 or more in the setting of suspected infection. A ped

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::887ddc7e63f41da7d3ee6fcde70c909e
https://pubmed.ncbi.nlm.nih.gov/35575803

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

Autor: Tiffany J. Callahan, Adrianne L. Stefanski, Jordan M. Wyrwa, Chenjie Zeng, Anna Ostropolets, Juan M. Banda, William A. Baumgartner, Richard D. Boyce, Elena Casiraghi, Ben D. Coleman, Janine H. Collins, Sara J. Deakyne Davies, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya B. Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin A. Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn

Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping. Open Biological and Biomedical Ontology (OBO) Foundry o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d6a05492e9f21fa9f6acd0ca9b5777c

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative

Autor: Emily R, Pfaff, Andrew T, Girvin, Davera L, Gabriel, Kristin, Kostka, Michele, Morris, Matvey B, Palchuk, Harold P, Lehmann, Benjamin, Amor, Mark, Bissell, Katie R, Bradwell, Sigfried, Gold, Stephanie S, Hong, Johanna, Loomba, Amin, Manna, Julie A, McMurry, Emily, Niehaus, Nabeel, Qureshi, Anita, Walden, Xiaohan Tanner, Zhang, Richard L, Zhu, Richard A, Moffitt, Melissa A, Haendel, Christopher G, Chute, William G, Adams, Shaymaa, Al-Shukri, Alfred, Anzalone, Ahmad, Baghal, Tellen D, Bennett, Elmer V, Bernstam, Mark M, Bissell, Brian, Bush, Thomas R, Campion, Victor, Castro, Jack, Chang, Deepa D, Chaudhari, Wenjin, Chen, San, Chu, James J, Cimino, Keith A, Crandall, Mark, Crooks, Sara J Deakyne, Davies, John, DiPalazzo, David, Dorr, Dan, Eckrich, Sarah E, Eltinge, Daniel G, Fort, George, Golovko, Snehil, Gupta, Janos G, Hajagos, David A, Hanauer, Brett M, Harnett, Ronald, Horswell, Nancy, Huang, Steven G, Johnson, Michael, Kahn, Kamil, Khanipov, Curtis, Kieler, Katherine Ruiz De, Luzuriaga, Sarah, Maidlow, Ashley, Martinez, Jomol, Mathew, James C, McClay, Gabriel, McMahan, Brian, Melancon, Stephane, Meystre, Lucio, Miele, Hiroki, Morizono, Ray, Pablo, Lav, Patel, Jimmy, Phuong, Daniel J, Popham, Claudia, Pulgarin, Carlos, Santos, Indra Neil, Sarkar, Nancy, Sazo, Soko, Setoguchi, Selvin, Soby, Sirisha, Surampalli, Christine, Suver, Uma Maheswara Reddy, Vangala, Shyam, Visweswaran, James von, Oehsen, Kellie M, Walters, Laura, Wiley, David A, Williams, Adrian, Zai

Publikováno v: Journal of the American Medical Informatics Association : JAMIA

Objective In response to COVID-19, the informatics community united to aggregate as much clinical data as possible to characterize this new disease and reduce its impact through collaborative analytics. The National COVID Cohort Collaborative (N3C) i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3533d16eaddda730bcfae1d98babd62d
https://ora.ox.ac.uk/objects/uuid:b846d295-7fb7-4e4f-b878-2edbdca8fe09

Pediatric Sepsis in Community Emergency Care Settings: Guideline Concordance and Outcomes

Autor: Elizabeth Olds, Julia Aogaichi Brant, Halden F. Scott, Emily Greenwald, Jan Leonard, Sara J. Deakyne Davies

Publikováno v: Pediatr Emerg Care

Objectives Bundled pediatric sepsis care has been associated with improved outcomes in tertiary pediatric emergency departments. Sepsis care at nontertiary sites where most children seek emergency care is not well described. We sought to describe the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67740a6b334cc4dbbfcbcc6e87f990fa
https://europepmc.org/articles/PMC8012392/